Comments (2)
yinboc
commented on May 30, 2024
I am not sure what will the result be if training ResNet-18 from scratch with such a small dataset, data augmentation and proper lr decay may help.
The pretrained arg is from Pytorch's original implementation of ResNet, which is used for loading the official ImageNet-1K pretrained model (but not used in our code). If you want a pretrained model, you may need to download the pretrained model from Pytorch's website and load its parameters manually in the code.
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xqyd
commented on May 30, 2024
Sure. Thanks for your help.
from few-shot-meta-baseline.
Related Issues (20)
- cite
- Question about the meta-test. HOT 2
- Thank you for your attention HOT 5
- The expected results are not achieved on the tiered-imagenet HOT 9
- 训练自己的数据集 HOT 2
- How did you get the encoder that you shared in the git hub project? HOT 1
- An error occurred during operation
- classifier related to baseline in Closer look at few-shot leawrning
- some training problems using "max_epoch=100"
- 您好，meta-learning会导致新类别泛化能力下降，那么为什么还会提升classifier-baseline的性能呢？ HOT 2
- partition of dataset
- The question of distance selection
- how to run on CPU?
- 关于encoder训练的问题
- How do I know what the real category of tieredImagenet is?
- EOFError: Ran out of input HOT 1
- tval_dataset uses the test dataset?
- Hello, could you please upload these three data sets? I think they are pickle files, thank you very much。
- I think the URL of miniImagenet is outdated, could you please upload it again?
- I think the URL of miniImagenet is outdated, could you please upload it again? Thank you very much.
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